Multi-node magnetic detection data anti-frame-string transmission method and system based on MESH network

Abstract

The invention provides a multi-node magnetic detection data anti-frame-string transmission method and system based on an MESH network, and the method comprises the steps: introducing a feature extraction mechanism based on a MESH network semantic field, carrying out the multi-dimensional information source feature perception and dynamic flow identification, and generating a plurality of pieces of label information and a plurality of byte streams corresponding to the label information; based on the generated label information, triggering a multi-instantiation virtual channel scheduler, and guiding the continuous byte stream to a group of logic isolation buffer domains LIBD which run in parallel; starting a space-time continuity reconstruction engine for an incomplete or interrupted byte sequence temporarily stored in each logic isolation buffer domain LIBD; a byte stream processed by a space-time continuity reconstruction engine is regarded as a quasi-frame unit with logic integrity and enters a multi-protocol fusion analysis layer, and an analysis result is verified by a trusted chain verification module and then is delivered to an application layer through an interface. By applying the technical scheme of the invention, the technical problem of byte stream synchronization failure easily caused by interleaving of multi-source multicast frames in a physical layer in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of magnetic detection technology, and in particular to a method and system for preventing cross-frame transmission of multi-node magnetic detection data based on a MESH network. Background Technology

[0002] In airborne magnetic detection operations, the output information of the airborne magnetic detector needs to be transmitted back to the ground data processing terminal via a wireless data link. Among various link interconnection solutions, the data link based on MESH self-organizing network has significant advantages such as high reliability, strong self-healing ability and wide coverage due to its adaptive and dynamic network topology architecture. It is widely used in fields such as industrial IoT and smart sensor networks.

[0003] However, when using a MESH data link to connect a magnetic detection system with serial port output, the MESH network typically employs a transparent transmission mechanism, indiscriminately forwarding and encapsulating the raw serial port byte stream without synchronously sensing and coupling frame boundary information in serial communication. This can lead to random frame breaks during the conversion of continuous byte streams into network data packets. When data is transmitted across multiple network nodes, the start and end markers of the original serial port frame (such as frame headers and trailers) may be segmented into different data packets, preventing the receiver from accurately reconstructing the complete logical frame. Especially in multi-node network environments, where multiple magnetic detectors transmit data concurrently, the MESH link cannot retain or embed the source node's context identification information after frame breaks. This results in the receiver lacking sufficient node attribution and frame order association when faced with intermediate segments, making it difficult to reconstruct the complete data sequence from a specific node. Ultimately, this leads to data parsing failure and severely impacts the system's ability to continuously acquire and accurately reconstruct magnetic signals. Traditional solutions include:

[0004] Time Division Multiplexing (TDMA) mechanisms avoid collisions by strictly scheduling transmission time slots, but sacrifice real-time performance and flexibility. Priority arbitration mechanisms detect collisions based on MAC addresses or node IDs, but cannot solve the multicast frame interleaving problem. Increasing the inter-frame gap extends the silence time for synchronization, reducing channel utilization. CRC checksum retransmission mechanisms only correct errors after the fact and cannot prevent parsing misalignments. None of these methods fundamentally solve the problem of byte stream synchronization failure caused by multi-source multicast frame interleaving at the physical layer. Especially in high-density, high-frequency multicast scenarios, the frame rate increases significantly, severely impacting system stability. Therefore, a novel multicast transmission mechanism capable of intelligent source identification, dynamic buffering, and byte-level resynchronization at the data link layer is urgently needed to overcome the communication bottleneck of traditional serial MESH networks. Summary of the Invention

[0005] This invention provides a method and system for preventing cross-frame transmission of multi-node magnetic probe data based on MESH networks, which can solve the technical problem that the interleaving of multi-source multicast frames at the physical layer can easily lead to the failure of byte stream synchronization in the prior art.

[0006] According to one aspect of the present invention, a method for preventing cross-frame transmission of multi-node magnetic exploration data based on a MESH network is provided. The method includes: Step 1, introducing a feature extraction mechanism based on the semantic field of the MESH network, and constructing an embedded protocol deconstruction engine to perform multi-level penetrating parsing on the original data units entering the receiving window, generating multiple tag information and multiple byte streams corresponding to the tag information; Step 2, based on the generated tag information, triggering a multi-instance virtual channel scheduler to guide the continuous byte streams to a set of parallel-running logical isolation buffer domains L. Each Logical Isolation Buffer Domain (LIBD) consists of an independent ring storage structure and access control policy, forming a physically shared but logically exclusive "data sandbox" environment. Step 3: For incomplete or interrupted byte sequences temporarily stored in each LIBD, the spatiotemporal continuity reconstruction engine is started. Step 4: The byte stream processed by the spatiotemporal continuity reconstruction engine is regarded as a "quasi-frame unit" with logical integrity and enters the multi-protocol fusion parsing layer. After the parsing result is verified by the trusted chain verification module, it is delivered to the application layer through the API interface to complete the anti-frame-crossing transmission of multi-node magnetic probe data based on the MESH network.

[0007] Furthermore, in step one, the protocol stack scanning module in the embedded protocol deconstruction engine is first activated, and non-blocking protocol header stripping is performed from bottom to top along the OSI model until the network layer logical unit with topology identification capability is reached, and tag information and byte stream are generated by parsing.

[0008] Furthermore, in step two, the scheduling process of continuous byte streams adopts dynamic hash space folding technology, combined with a real-time load assessment model, to automatically adjust the channel allocation weight and avoid buffer overflow caused by local hotspots. At the same time, a cross-channel monitoring mechanism is introduced to continuously detect the dispersion of data distribution between logical isolation buffer domains. Once an abnormal trend is detected, the reconfiguration protocol is immediately initiated to ensure the memory safety boundary in multi-source concurrent scenarios.

[0009] Furthermore, in step three, the spatiotemporal continuity reconstruction engine adopts a sliding window state machine model, combined with a forward context prediction algorithm and a reverse boundary verification mechanism, to perform multi-scale scanning of frame delimiters in the data stream. When an unexpected interruption or padding anomaly is detected in the byte sequence, the system does not immediately discard the current segment, but temporarily stores it in the edge transient buffer and initiates microsecond-level backtracking detection to search for potential legal frame start markers within a range of ±3 bytes. If a match is successful, the data before and after the breakpoint is seamlessly spliced ​​together through byte-level time alignment compensation to achieve logical regeneration of incomplete frames.

[0010] Furthermore, in step four, the multi-protocol fusion parsing layer has a built-in configurable parsing template library that supports automatic identification and structured unpacking of various link formats such as HDLC, PPP, and custom binary encapsulation.

[0011] According to another aspect of the present invention, a multi-node magnetic exploration data anti-cross-frame transmission system based on a MESH network is provided. The multi-node magnetic exploration data anti-cross-frame transmission system based on a MESH network is used to implement the multi-node magnetic exploration data anti-cross-frame transmission method based on a MESH network as described above.

[0012] Furthermore, the multi-node magnetic field data anti-spam transmission system based on MESH networks includes: a multi-dimensional source feature perception and dynamic flow identification module, which introduces a feature extraction mechanism based on the semantic field of MESH networks. By constructing an embedded protocol deconstruction engine, it performs multi-level penetrating parsing on the raw data units entering the receiving window, generating multiple tag information and multiple byte streams corresponding to the tag information; and a channel mapping and isolation buffer module, which triggers a multi-instance virtual channel scheduler based on the generated tag information, guiding the continuous byte stream to a set of parallel-running logical isolation buffer domains (LIBDs). Each logical isolation buffer domain (LIBD)... The BD consists of an independent ring storage structure and access control policies, forming a physically shared but logically exclusive "data sandbox" environment. The byte stream reconstruction and synchronous regeneration module is used to address incomplete or interrupted byte sequences temporarily stored in each logically isolated buffer domain (LIBD), triggering the system's spatiotemporal continuity reconstruction engine. The multimodal semantic parsing and trusted delivery module treats the byte stream processed by the spatiotemporal continuity reconstruction engine as a logically complete "quasi-frame unit," which then enters the multi-protocol fusion parsing layer. The parsing result is verified by the trusted chain verification module and delivered to the application layer via the API interface, completing the anti-frame-crossing transmission of multi-node magnetic probe data based on the MESH network.

[0013] According to another aspect of the present invention, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the steps of the multi-node magnetic probe data anti-frame-crossing transmission method based on a MESH network as described in any one of claims 1 to 5.

[0014] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, characterized in that, when executed by a processor, the computer program implements the steps of the multi-node magnetic probe data anti-frame-crossing transmission method based on a MESH network as described in any one of claims 1 to 5.

[0015] This invention provides a multi-node serial MESH network multicast data anti-frame-crossing transmission system and method based on intelligent classification buffering and byte-level resynchronization. By constructing a "perception-classification-buffering-resynchronization-parsing" processing pipeline, it achieves accurate separation and lossless parsing of multi-source multicast frames, completely eliminating frame-crossing interference and improving communication reliability. Compared with existing technologies, the multi-node magnetic probe data anti-frame-crossing transmission method based on MESH networks provided by this invention combines a virtual identity classification mechanism, a multi-channel ring buffer architecture, byte-level dynamic resynchronization technology, and precise timestamp synchronization according to the usage of magnetic probe information. This achieves a protocol-independent network node anti-frame-crossing transmission mechanism, which can meet the needs of multi-machine MESH chain magnetic probe applications and has high practical value. Attached Figure Description

[0016] The accompanying drawings, which form part of this specification, are provided to further illustrate embodiments of the invention and, together with the textual description, explain the principles of the invention. It is obvious that the drawings described below are merely some embodiments of the invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0017] Figure 1 A flowchart of a multi-node magnetic field data anti-frame-crossing transmission method based on a MESH network, according to a specific embodiment of the present invention, is shown. Detailed Implementation

[0018] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the present invention or its application or use. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0020] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following figures denote similar items; therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0021] like Figure 1As shown, according to a specific embodiment of the present invention, a method for preventing cross-frame transmission of multi-node magnetic exploration data based on a MESH network is provided. This method includes: Step 1, introducing a feature extraction mechanism based on the semantic field of a MESH network, and constructing an embedded protocol deconstruction engine to perform multi-level penetrating parsing on the original data units entering the receiving window, generating multiple tag information and multiple byte streams corresponding to the tag information; Step 2, based on the generated tag information, triggering a multi-instance virtual channel scheduler to guide the continuous byte streams to a set of parallel-running logical isolation buffers. Each logically isolated buffer domain (LIBD) consists of an independent ring storage structure and access control policy, forming a physically shared but logically exclusive "data sandbox" environment. Step three involves starting the spatiotemporal continuity reconstruction engine for incomplete or interrupted byte sequences temporarily stored in each LIBD. Step four involves treating the byte stream processed by the spatiotemporal continuity reconstruction engine as a "quasi-frame unit" with logical integrity, entering the multi-protocol fusion parsing layer, and delivering the parsing result to the application layer via the trusted chain verification module after verification, thus completing the anti-frame-crossing transmission of multi-node magnetic probe data based on the MESH network.

[0022] This configuration provides a multi-node serial MESH network multicast data anti-frame-crossing transmission system and method based on intelligent classification buffering and byte-level resynchronization. By constructing a "perception-classification-buffering-resynchronization-parsing" processing pipeline, it achieves accurate separation and lossless parsing of multi-source multicast frames, completely eliminating frame-crossing interference and improving communication reliability. Compared with existing technologies, the multi-node magnetic probe data anti-frame-crossing transmission method based on MESH networks provided by this invention combines a virtual identity classification mechanism, a multi-channel ring buffer architecture, byte-level dynamic resynchronization technology, and precise timestamp synchronization according to the usage of magnetic probe information. This achieves a protocol-independent network node anti-frame-crossing transmission mechanism, which can meet the needs of multi-machine MESH chain magnetic probe applications and has high practical value.

[0023] Furthermore, in step one, the protocol stack scanning module in the embedded protocol deconstruction engine is first activated, and non-blocking protocol header stripping is performed from bottom to top along the OSI model until the network layer logical unit with topology identification capability is reached, and tag information and byte stream are generated by parsing.

[0024] In addition, in step two, the scheduling process of continuous byte streams adopts dynamic hash space folding technology, combined with a real-time load assessment model, to automatically adjust the channel allocation weight and avoid buffer overflow caused by local hot spots. At the same time, a cross-channel monitoring mechanism is introduced to continuously detect the dispersion of data distribution between logical isolation buffer domains. Once an abnormal trend is detected, the reconfiguration protocol is immediately initiated to ensure the memory safety boundary in multi-source concurrent scenarios.

[0025] Furthermore, in step three, the spatiotemporal continuity reconstruction engine adopts a sliding window state machine model, combined with a forward context prediction algorithm and a reverse boundary verification mechanism, to perform multi-scale scanning of frame delimiters in the data stream. When an unexpected interruption or padding anomaly is detected in the byte sequence, the system does not immediately discard the current segment, but temporarily stores it in the edge transient buffer and initiates microsecond-level backtracking detection to search for potential legal frame start markers within a range of ±3 bytes. If a match is successful, the data before and after the breakpoint is seamlessly spliced ​​together through byte-level time alignment compensation to achieve logical regeneration of incomplete frames.

[0026] In this invention, in step four, the multi-protocol fusion parsing layer has a built-in configurable parsing template library that supports automatic identification and structured unpacking of various link formats such as HDLC, PPP, and custom binary encapsulation.

[0027] According to another aspect of the present invention, a multi-node magnetic exploration data anti-spam transmission system based on a MESH network is provided. This multi-node magnetic exploration data anti-spam transmission system based on a MESH network is used to implement the multi-node magnetic exploration data anti-spam transmission method based on a MESH network as described above. Specifically, the multi-node magnetic exploration data anti-spam transmission system based on a MESH network includes a multi-dimensional source feature perception and dynamic flow identification module, a channel mapping and isolation caching module, a byte stream reconstruction and synchronous regeneration module, and a multi-modal semantic parsing and trusted delivery module. The multi-dimensional source feature perception and dynamic flow identification module is used to introduce a feature extraction mechanism based on the semantic field of the MESH network. By constructing an embedded protocol deconstruction engine, it performs multi-level penetrating parsing on the original data units entering the receiving window to generate multiple tag information and multiple byte streams corresponding to the tag information. The channel mapping and isolation caching module is used to trigger a multi-instanced virtual channel scheduler based on the generated tag information to guide the continuous byte stream to a set of The system operates in parallel with Logically Isolated Buffer Domains (LIBDs). Each LIBD consists of an independent ring storage structure and access control policy, forming a physically shared but logically exclusive "data sandbox" environment. The byte stream reconstruction and synchronous regeneration module is used to initiate the spatiotemporal continuity reconstruction engine for incomplete or interrupted byte sequences temporarily stored in each LIBD. The multimodal semantic parsing and trusted delivery module treats the byte stream processed by the spatiotemporal continuity reconstruction engine as a "quasi-frame unit" with logical integrity, which then enters the multi-protocol fusion parsing layer. After the parsing result is verified by the trusted chain verification module, it is delivered to the application layer through the API interface to complete the anti-frame-crossing transmission of multi-node magnetic exploration data based on the MESH network.

[0028] This configuration provides a multi-node serial MESH network multicast data anti-spam transmission system based on intelligent classification buffering and byte-level resynchronization. By constructing a "perception-classification-buffering-resynchronization-parsing" processing pipeline, it achieves accurate separation and lossless parsing of multi-source multicast frames, completely eliminating spam interference and improving communication reliability. Compared with existing technologies, the multi-node magnetic probe data anti-spam transmission system based on MESH networks provided by this invention combines a virtual identity classification mechanism, a multi-channel ring buffer architecture, byte-level dynamic resynchronization technology, and precise timestamp synchronization according to the usage of magnetic probe information. This achieves a protocol-independent network node anti-spam transmission mechanism, which can meet the needs of multi-machine MESH chain magnetic probe applications and has high practical value.

[0029] According to another aspect of the present invention, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the steps of the multi-node magnetic probe data anti-frame-crossing transmission method based on MESH network as described above.

[0030] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the steps of the multi-node magnetic probe data anti-frame-crossing transmission method based on a MESH network as described above.

[0031] To gain a further understanding of the present invention, the following description is provided in conjunction with... Figure 1 The present invention provides a detailed description of the multi-node magnetic exploration data anti-frame-crossing transmission method and system based on MESH network provided by the present invention.

[0032] like Figure 1 As shown, this invention proposes a multi-node serial MESH network multicast data anti-frame-crossing transmission system and method based on intelligent classification buffering and byte-level resynchronization. By constructing a "perception-classification-buffering-resynchronization-parsing" processing pipeline, it achieves accurate separation and lossless parsing of multi-source multicast frames, completely eliminates frame-crossing interference, and improves communication reliability.

[0033] All nodes form a MESH topology via a differential signal bus, supporting multicast communication across the entire network. The multi-node magnetic exploration data anti-frame-crossing transmission method based on a MESH network provided by this invention specifically includes the following steps.

[0034] Step 1: Multi-dimensional Source Feature Perception and Dynamic Stream Identification: Given the continuous injection of physical layer byte streams, this invention introduces a feature extraction mechanism based on the semantic field of MESH networks. By constructing an embedded protocol deconstruction engine, multi-level penetrating parsing is performed on the raw data units entering the receiving window. The system first activates the protocol stack scanning module, performing non-blocking protocol header stripping from bottom to top along the OSI model until it reaches the network layer logical unit with topology identification capabilities, parsing and generating tag information and byte streams.

[0035] Step 2: Adaptive Channel Mapping and Isolated Caching of Heterogeneous Data Streams: Based on the generated tag information, a multi-instance virtual channel scheduler is triggered to guide the continuous byte stream to a set of parallel-running Logical Isolated Buffer Domains (LIBDs). Each LIBD consists of an independent ring storage structure and access control policy, forming a physically shared but logically exclusive "data sandbox" environment.

[0036] The scheduling process employs dynamic hash space folding technology, combined with a real-time load assessment model, to automatically adjust channel allocation weights and avoid buffer overflows caused by local hotspots. Simultaneously, the system introduces a cross-channel monitoring mechanism to continuously detect the dispersion of data distribution across different domains. Upon detecting abnormal trends, a reconfiguration protocol is immediately initiated to ensure memory safety boundaries in multi-source concurrent scenarios.

[0037] Step 3: Spatiotemporal Byte Stream Reconstruction and Synchronous Regeneration: For incomplete or interrupted byte sequences temporarily stored in each LIBD, the system initiates a spatiotemporal continuity reconstruction engine. This engine employs a sliding window state machine model, combined with a forward context prediction algorithm and a reverse boundary check mechanism, to perform multi-scale scanning of frame delimiters in the data stream. When an unexpected interruption or padding anomaly is detected in a byte sequence, the system does not immediately discard the current segment but temporarily stores it in an edge transient buffer and initiates microsecond-level backtracking probing to search for potential legitimate frame start markers within a ±3-byte range. If a match is successful, byte-level time alignment compensation is used to seamlessly stitch together the data before and after the breakpoint, achieving logical regeneration of incomplete frames.

[0038] Step Four: Multimodal Semantic Parsing and Trusted Delivery: The byte stream processed above is considered a "quasi-frame unit" with logical integrity and enters the multi-protocol fusion parsing layer. This layer has a built-in configurable parsing template library, supporting automatic identification and structured depackaging of various link formats such as HDLC, PPP, and custom binary encapsulation. After the parsing result is verified by the trusted chain verification module, it is delivered to the application layer through the API interface. This step integrates lightweight digital fingerprint comparison to prevent malicious forgery or replay attacks.

[0039] The core of this invention is to combine a virtual identity classification mechanism, a multi-channel ring buffer architecture, byte-level dynamic resynchronization technology, and precise timestamp synchronization based on the usage of magnetic measurement information. This achieves a protocol-independent network node anti-frame-crossing transmission mechanism. It can meet the magnetic measurement needs of multi-machine MESH chains and has high practical value.

[0040] For ease of description, spatial relative terms such as "above," "on top of," "on the upper surface of," "above," etc., are used herein to describe the spatial positional relationship of a device or feature as shown in the figures to other devices or features. It should be understood that spatial relative terms are intended to encompass different orientations in use or operation beyond the orientation of the device as described in the figures. For example, if the device in the figures were inverted, a device described as "above" or "on top of" other devices or structures would subsequently be positioned as "below" or "under" other devices or structures. Thus, the exemplary term "above" can include both "above" and "below." The device may also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatial relative descriptions used herein will be interpreted accordingly.

[0041] Furthermore, it should be noted that the use of terms such as "first" and "second" to define components is merely for the purpose of distinguishing the corresponding components. Unless otherwise stated, the above terms have no special meaning and therefore should not be construed as limiting the scope of protection of this invention.

[0042] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for preventing cross-frame transmission of multi-node magnetic field data based on a MESH network, characterized in that, The method for preventing cross-frame transmission of multi-node magnetic field data based on MESH networks includes: Step 1: Introduce a feature extraction mechanism based on the semantic field of MESH network. By constructing an embedded protocol deconstruction engine, perform multi-level penetrating parsing on the raw data units entering the receiving window to generate multiple tag information and multiple byte streams corresponding to the tag information. Step 2: Based on the generated tag information, trigger the multi-instance virtual channel scheduler to guide the continuous byte stream to a set of parallel-running logically isolated buffer domains (LIBDs). Each LIBD consists of an independent ring storage structure and access control policy, forming a physically shared but logically exclusive "data sandbox" environment. Step 3: For the incomplete or interrupted byte sequences temporarily stored in each logical isolation buffer domain (LIBD), start the spatiotemporal continuity reconstruction engine. Step four: The byte stream processed by the spatiotemporal continuity reconstruction engine is regarded as a "quasi-frame unit" with logical integrity and enters the multi-protocol fusion parsing layer. After the parsing result is verified by the trusted chain verification module, it is delivered to the application layer through the API interface to complete the anti-frame-crossing transmission of multi-node magnetic exploration data based on the MESH network.

2. The method for preventing cross-frame transmission of multi-node magnetic field data based on a MESH network according to claim 1, characterized in that, In step one, the protocol stack scanning module in the embedded protocol deconstruction engine is first activated, and non-blocking protocol header stripping is performed from bottom to top along the OSI model until the network layer logical unit with topology identification capability is reached, and tag information and byte stream are generated by parsing.

3. The method for preventing cross-frame transmission of multi-node magnetic field data based on a MESH network according to claim 2, characterized in that, In step two, the scheduling process of the continuous byte stream adopts dynamic hash space folding technology, combined with a real-time load assessment model, to automatically adjust the channel allocation weight and avoid buffer overflow caused by local hot spots. At the same time, a cross-channel monitoring mechanism is introduced to continuously detect the dispersion of data distribution between logical isolation buffer domains. Once an abnormal trend is detected, the reconfiguration protocol is immediately initiated to ensure the memory safety boundary in multi-source concurrent scenarios.

4. The method for preventing cross-frame transmission of multi-node magnetic field data based on a MESH network according to claim 3, characterized in that, In step three, the spatiotemporal continuity reconstruction engine adopts a sliding window state machine model, combined with a forward context prediction algorithm and a reverse boundary verification mechanism, to perform multi-scale scanning of frame delimiters in the data stream. When an unexpected interruption or padding anomaly is detected in the byte sequence, the system does not immediately discard the current segment, but temporarily stores it in the edge transient buffer and initiates microsecond-level backtracking detection to search for potential legal frame start markers within a range of ±3 bytes. If a match is successful, the data before and after the breakpoint is seamlessly spliced ​​together through byte-level time alignment compensation to achieve logical regeneration of incomplete frames.

5. The method for preventing cross-frame transmission of multi-node magnetic field data based on a MESH network according to claim 4, characterized in that, In step four, the multi-protocol fusion parsing layer has a built-in configurable parsing template library that supports automatic identification and structured unpacking of various link formats such as HDLC, PPP, and custom binary encapsulation.

6. A multi-node magnetic exploration data anti-frame-crossing transmission system based on a MESH network, characterized in that, The MESH-based multi-node magnetic exploration data anti-frame-crossing transmission system is used to implement the MESH-based multi-node magnetic exploration data anti-frame-crossing transmission method as described in any one of claims 1 to 5.

7. The multi-node magnetic field data anti-spam transmission system based on a MESH network according to claim 6, characterized in that, The multi-node magnetic field data anti-crosslinking transmission system based on MESH network includes: The multi-dimensional source feature perception and dynamic flow identification module is used to introduce a feature extraction mechanism based on the semantic field of MESH network. By constructing an embedded protocol deconstruction engine, it performs multi-level penetrating parsing on the original data units entering the receiving window to generate multiple tag information and multiple byte streams corresponding to the tag information. The channel mapping and isolation caching module is used to trigger a multi-instance virtual channel scheduler based on the generated tag information, and guide the continuous byte stream to a set of parallel-running logically isolated buffer domains (LIBDs). Each logically isolated buffer domain (LIBD) consists of an independent ring storage structure and access control policy, forming a physically shared and logically exclusive "data sandbox" environment. The byte stream reconstruction and synchronous regeneration module is used to start the spatiotemporal continuity reconstruction engine for incomplete or interrupted byte sequences temporarily stored in each logical isolation buffer domain (LIBD). The multimodal semantic parsing and trusted delivery module is used to treat the byte stream processed by the spatiotemporal continuity reconstruction engine as a "quasi-frame unit" with logical integrity, and enter the multi-protocol fusion parsing layer. After the parsing result is verified by the trusted chain verification module, it is delivered to the application layer through the API interface to complete the anti-frame-crossing transmission of multi-node magnetic exploration data based on the MESH network.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the multi-node magnetic field data anti-frame-crossing transmission method based on MESH network as described in any one of claims 1 to 5.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the multi-node magnetic field data anti-frame-crossing transmission method based on MESH network as described in any one of claims 1 to 5.

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